OpenAI API: Embeddings

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Kesha Williams

28:04

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01 - Introduction

01 - Introduction to embeddings.mp4

00:48

02 - 1. Understanding Embeddings

01 - Explore embeddings.mp4

03:01

02 - Leverage cosine similarity.mp4

02:38

03 - 2. Obtaining Embeddings via the Embeddings API

01 - Explore the Embeddings API.mp4

03:08

02 - Estimate embeddings pricing.mp4

02:21

03 - Generate embeddings for a single word.mp4

06:02

04 - 3. Using Embeddings in the Real World

01 - Cluster similar words.mp4

04:03

02 - Generate embeddings for sentences.mp4

04:44

05 - Conclusion

01 - Your embeddings journey.mp4

01:19

Description

Embeddings enable a wide range of natural language processing (NLP) and machine learning capabilities by transforming text into a format that machines can understand. In this course, join instructor Kesha Williams as she covers the basics of embeddings and their practical applications in text classification, clustering, semantic search, and more, with hands-on coding examples along the way.

Learn how to use and manage embeddings through the embeddings API, addressing cost and storage aspects as you go. Kesha provides an overview of the complexities and ethics of embeddings, highlighting common inherent biases and the future of AI technologies. By the end of this course, you’ll have a richer understanding of the theoretical knowledge and practical skills required to effectively apply embeddings in a wide range of use case scenarios.

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Artificial Intelligence

Kesha Williams

Instructor's Courses

Kesha Williams is an award-winning technology leader with 26 years of experience in tech. She's passionate about hands-on building and developing the next generation of leaders. Forbes, Amazon Web Services (AWS), and Oracle have applauded her contributions to the technology community. She's recognized, by Amazon, as an AWS Machine Learning Hero, AWS Ambassador, and Alexa Champion. Her expertise in machine learning led her to the TED stage as a winner of TED's Spotlight Presentation Academy, where she trained with the TED Institute. She holds multiple AWS certifications and has leadership training from Harvard Business School. She serves on the Board of Directors for Women in Voice in her spare time. Learn more at http://www.kesha.tech

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